• No results found

Epstein-Barr Virus Infectious Mononucleosis in Children

N/A
N/A
Protected

Academic year: 2020

Share "Epstein-Barr Virus Infectious Mononucleosis in Children"

Copied!
11
0
0

Loading.... (view fulltext now)

Full text

Loading

Figure

Fig 2.Durationofdrenyearsdeterminedtestnotrapidantibodieshorseof serumheterophilantibodies(left)in53childrenwhodevelopedthisantibodyresponseduringacuteEpstein-Barrvirusinfectiousmononucleosis.Chil-aredividedintotwoagegroups:thoselessthan4old(openbars)andthoseaged4 yearsandolder(closedbars).Heterophilantibodyresponsesshownwerebytwotechniques:Paul-Bunnell-Davidsohn(PBD)testutilizinghorsecells(circles)andrapidslide(triangles).Resultsof thePBD-sheepcelltestwereincluded.Bydefinition,detectionof thisantibodybyPBDhorsecelltestinacutephasewas100%.Acutesera49/53childrenalsohadtheseantibodiesdetectedbyslidetest.Geometricmeantitersofheterophilremainingafterguineapigabsorptionin PBD-celltestareshownonright.

References

Related documents

For example, the evidence is presented by means of a contradictory debate which is in accordance with the procedure of accusation, but the prosecuting is usually

One solution is to use the results from a preliminary analysis of the data to choose the prior parameters. Thus, we implement the perfect simulation algorithm using a default choice

The present study reveals the effect of nonlinear thermal radiation and magnetic field on a boun- dary layer flow of a viscous fluid over a nonlinear stretching sheet with suction

Porzio, “ L ∞ loc -estimates for degenerate and singular parabolic equations,” Nonlinear Analysis: Theory, Methods & Applications , vol. DiBenedetto, “On the local behavior

These classical inequalities have been improved and generalized in a number of ways and applied for special means including Stolarsky type, logarithmic, and p-logarithmic

KEYWORDS: Graphene, excellence in mechanical, electrical, thermal performance, metal matrix composites, synthesis of graphene composites and applications of graphene

The model fitting is based on cubic regression splines to model the mean, variance and shape parameter functions combined with Gaussian copula to model the process dependence, and